Daniel Hauser

5.6k citations
62 papers · 3.2k · h-index 29

Impact in

Papers in

Daniel Hauser

61 papers receiving 2.9k citations

Peers

Daniel Hauser
Comparison fields: 5 of 141
  • Cellular and Molecular Neuroscience 837
  • Neurology 368
  • Endocrinology 134
  • Biomaterials 305
  • Molecular Biology 1.4k
Replace Joan M. Boggs with:
Joan M. Boggs Canada
Yuri N. Antonenko Russia
Patrizia Polverino de Laureto Italy
Frank Sobott United Kingdom
Suzanne Scarlata United States
Kazutomo Imahori Japan
József Kardos Hungary
David Puett United States
Atsushi Ishii Japan
Joachim Behlke Germany
Daniel Hauser relative to Joan M. Boggs Canada Joan M. Boggs's profile →
Citations per field
00.5×1.5×2.4×
Joan M. Boggs · 1×
Citations per year

Countries citing papers authored by Daniel Hauser

Since Specialization
Citations

This map shows the geographic impact of Daniel Hauser's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Hauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hauser more than expected).

Fields of papers citing papers by Daniel Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Hauser. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Hauser. The network helps show where Daniel Hauser may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Hauser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Hauser Line = papers co-authored together Daniel Hauser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018369
2 1977352
3 1976231
4 1974202
5 2021152
6 1970142
7 1971105
8 199097
9 202091
10 199289
11 199482
12 196568
13 201563
14 199362
15 197162
16 197460
17 201355
18 198452
19 199349
20 199149

About Daniel Hauser

Daniel Hauser is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Pharmacology and Neurology, having authored 62 papers that have together received 3.2k indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (8 papers), Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (7 papers), Biochemical and Structural Characterization (6 papers), Microbial Natural Products and Biosynthesis (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Steroid Chemistry and Biochemistry (4 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (837 citations), Neurology (368 citations), Endocrinology (134 citations), Biomaterials (305 citations) and Molecular Biology (1.4k citations). Daniel Hauser has collaborated with scholars based in Switzerland, Japan and France. Frequent co-authors include H. P. Siǵǵ, Annemarie Closse, Michel R. Popoff, Barbara Rothen‐Rutishauser, Alke Petri‐Fink, F. Cardinaux, Ronald C. Hill, Janos Pless, Patrice Boquet and Hans Peter Weber. Their work appears in journals such as Helvetica Chimica Acta, Journal of Medicinal Chemistry, Advanced Sustainable Systems, Cellular and Molecular Life Sciences and Nature.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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